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DBMS > Apache Jena - TDB vs. Dragonfly vs. Spark SQL

System Properties Comparison Apache Jena - TDB vs. Dragonfly vs. Spark SQL

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Editorial information provided by DB-Engines
NameApache Jena - TDB  Xexclude from comparisonDragonfly  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionA RDF storage and query DBMS, shipped as an optional-use component of the Apache Jena frameworkA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRDF storeKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.62
Rank#83  Overall
#3  RDF stores
Score0.49
Rank#261  Overall
#38  Key-value stores
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitejena.apache.org/­documentation/­tdb/­index.htmlgithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
spark.apache.org/­sql
Technical documentationjena.apache.org/­documentation/­tdb/­index.htmlwww.dragonflydb.io/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperApache Software Foundation infooriginally developed by HP LabsDragonflyDB team and community contributorsApache Software Foundation
Initial release200020232014
Current release4.9.0, July 20231.0, March 20233.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache License, Version 2.0Open Source infoBSL 1.1Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++Scala
Server operating systemsAll OS with a Java VMLinuxLinux
OS X
Windows
Data schemeyes infoRDF Schemasscheme-freeyes
Typing infopredefined data types such as float or dateyesstrings, hashes, lists, sets, sorted sets, bit arraysyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nono
Secondary indexesyesnono
SQL infoSupport of SQLnonoSQL-like DML and DDL statements
APIs and other access methodsFuseki infoREST-style SPARQL HTTP Interface
Jena RDF API
RIO infoRDF Input/Output
Proprietary protocol infoRESP - REdis Serialization ProtocolJDBC
ODBC
Supported programming languagesJavaC
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl
Java
Python
R
Scala
Server-side scripts infoStored proceduresyesLuano
Triggersyes infovia event handlerpublish/subscribe channels provide some trigger functionalityno
Partitioning methods infoMethods for storing different data on different nodesnoneyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoTDB TransactionsAtomic execution of command blocks and scriptsno
Concurrency infoSupport for concurrent manipulation of datayesyes, strict serializability by the serveryes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess control via Jena SecurityPassword-based authenticationno

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More resources
Apache Jena - TDBDragonflySpark SQL
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